How monday.com shortened the app rewriting process from 8 years to 6 months with AI
The article on monday.com’s blog describes the fascinating journey of the engineering team which managed to reduce the time it took to transform the monolith into a complex microservices-based system from eight years to just six months. This process required not only advanced technology but also an innovative approach to leveraging artificial intelligence. The team faced many challenges, including the necessity to understand the multilayer architecture of the monolith and develop effective decompilation methods. Importantly, their innovation was not limited only to the system transformation but also improved its efficiency and scalability. Ultimately, through groundbreaking techniques, they significantly accelerated the development and deployment of new features, yielding substantial benefits for both the team and the platform users.
The engineering team focused on building an AI system that could effectively analyze and manage the complicated data emerging from the monolith. In designing the AI, engineers had to integrate various components to automatically identify and separate individual elements of the system. This required not only programming skills but also an understanding of distributed systems theory and neural networks. The end result was the creation of a robust AI model that greatly simplified the tasks of decompiling and transforming the monolith.
Engineers posit that the key to success was not just the application of advanced technology, but also teamwork and continuous learning. Throughout the process of system building, the team regularly exchanged knowledge and experience, allowing them to better understand the challenges they faced. Ongoing contact and collaboration with other departments also contributed to the effectiveness of their efforts—allowing quick adaptation to changing requirements and better understanding of user needs. Ultimately, due to this collaboration, the team was able to present an innovative product that met market expectations.
We must not forget the significance of testing and verification in the final stages of the project. Each new module had to be tested under various conditions and different usage scenarios to ensure its reliability. The application of techniques like Continuous Integration and Continuous Deployment proved crucial in enabling ongoing system updates without interrupting its operation. Tests and iterations allowed for rapid error catching and elimination before reaching end-users.
It appears that monday.com’s approach to transforming the monolith into a microservices system using artificial intelligence could serve as a model for other organizations. It enabled significant time and resource savings while providing greater flexibility in product development. With these innovations, monday.com is well-prepared for the future and introducing even more advanced functionalities that can attract new users. This transformation not only improved internal processes but also significantly impacted customer and user satisfaction on the platform.